Free Certificate: 8 Free Courses on Data Analytics, Visualization & Science
In this article, you’ll find 8 free data analytics, data science and data visualization courses with free certification upon completion. An average data analyst in the United States earns between $43,000 – $95,000 per annum.
Sponsored by Skillup (via Simplilearn), these free courses are self-paced with 90 Days of Access and an opportunity to win rewards.
Introduction to Data Analytics Course (3 hours)
This data analytics for beginners is designed to offer a solid foundation for working with various types of data, data visualization for decision making, and data analytics in different sectors. This program is ideal for anyone looking to become a data analyst or analytics manager.
What you will learn
- Types of data analytics
- Frequency distribution plots
- Swarm plots
- Data visualization
- Data science methodologies
- Analytics adoption frameworks
- Trends in data analytics
Data Science with Python (8 hours)
This Data Science with Python program provides learners with a complete understanding of data analytics tools & techniques. Getting started with Python can help you gain knowledge on data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing.
What you will learn
- Data wrangling
- Data exploration
- Data visualization
- Mathematical computing
- Web scraping
- Hypothesis building
- Python programming concepts
- NumPy and SciPy package
- ScikitLearn package for Natural Language Processing
Data Science with R Programming (6 hours)
Learn Data Science with R basics in this program and become an expert in data exploration, data structures, and data visualization. This data science R basics program offers work-ready preparation needed for all aspiring data scientists, analysts, and professionals looking to establish a career in data science.
What you will learn
- Business analytics
- R programming and its packages
- Data structures and data visualization
- Apply functions and DPLYR function
- Graphics in R for data visualization
- Hypothesis testing
- Apriori algorithm
- kmeans and DBSCAN clustering
Power BI for Beginners (6 hours)
Power BI Basics free course takes you through desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions. Power BI is a business analytics tool that helps analysts use interactive visualizations to create dashboards and reports.
What you will learn
- Power BI components
- Power BI services
- DAX functions
- Data modeling
- Power BI dashboard
Python Libraries for Data Science (7 hours)
The Python libraries free course will develop your understanding on how to perform numerical computation, data analysis and data visualization using NumPy, Pandas, and Matplotlib libraries.
What you will learn
- Best Python libraries
- NumPy
- Pandas
- Matplotlib
- Scikitlearn
- Beautiful Soup
- TensorFlow
Tableau Training (5 hours)
Tableau is a popular data visualization, reporting, and business intelligence tool and this free Tableau course will take your right from its basics to advanced topics. Get started with your career in analytics by learning Tableau.
What you will learn
- Tableau statistics
- Building interactive dashboards
- Arithmetic logical LOD calculations
- Heat map waterfall Pareto
- Clustering forecasting techniques
- Custom geocoding radial selections
- Special field types
Introduction to Data Science (7 hours)
This free Data Science course will help you understand the basics and how to become a Data Scientist in 2021. You will learn the top Python libraries for Data Science, some of the essential Data Science algorithms, and the top Data Science jobs, skills, and salary trends.
What you will learn
- Exploratory data analysis
- Descriptive statistics
- Inferential statistics
- Model building and fine tuning
- Supervised and unsupervised learning
- Natural language processing
- Ensemble learning
Introduction to Data Visualization (9 hours)
The Data Visualization basics free course will help you learn how to make sense of data by creating informative and engaging reports and dashboards. You will be using tools such as Tableau, Power BI, Excel, R, and Python to generate visualizations.
What you will learn
- Data visualization principles
- Communicating datadriven findings
- Using ggplot2 to create customized plots
